Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and develop features for NVIDIA's GPU kernel drivers, collaborating with hardware engineers. Involved in development, modeling, and simulations.

Lead strategic relationships and drive adoption of CUDA-X software solutions. Collaborate with teams on partnerships and marketing efforts.

Lead the architecture and development of software abstraction layers for autonomous driving, manage teams, and enhance performance through rigorous testing.

The role involves improving the safety and inclusivity of LLMs, developing datasets/models, implementing techniques for bias detection, and collaborating with teams to ensure responsible AI use.

Lead a team in defining and building NVIDIA's self-driving software. Manage technical product and program execution for autonomous vehicle projects.

Research and develop techniques to GPU-accelerate high-performance databases and data analytics applications while optimizing complex workloads and influencing hardware design.

As a Senior Machine Learning Engineer, you'll develop perception modules for autonomous vehicles, focusing on scalability and adaptability across global environments. Responsibilities include collaborating on algorithms, conducting large-scale experiments, and end-to-end deployment of models.

As a Solution Architect, you will research and develop GPU-accelerated techniques for high-performance databases and optimize data-intensive applications.

Develop product strategies and go-to-market plans for AI infrastructure. Collaborate with engineers, evaluate customer use cases, and define product metrics to ensure competitive advantage.

The role involves optimizing and analyzing performance of large scale AI applications on distributed systems, collaborating with cross-functional teams, and developing methodologies for HW-SW codesign.